---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-sq
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# whisper-small-sq

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2403
- Wer: 0.2590

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 8000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.3334        | 0.27  | 1000 | 0.3662          | 0.4138 |
| 0.2593        | 0.53  | 2000 | 0.3056          | 0.3329 |
| 0.2297        | 0.8   | 3000 | 0.2799          | 0.3052 |
| 0.1687        | 1.06  | 4000 | 0.2627          | 0.2798 |
| 0.1664        | 1.33  | 5000 | 0.2524          | 0.2724 |
| 0.1578        | 1.59  | 6000 | 0.2453          | 0.2652 |
| 0.1543        | 1.86  | 7000 | 0.2407          | 0.2626 |
| 0.1209        | 2.13  | 8000 | 0.2403          | 0.2590 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.2.0.dev20230923
- Datasets 2.14.5
- Tokenizers 0.13.3